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Exam DP-203 topic 4 question 70 discussion

Actual exam question from Microsoft's DP-203
Question #: 70
Topic #: 4
[All DP-203 Questions]

You have an Azure subscription that contains an Azure Synapse Analytics workspace named Workspace1, a Log Analytics workspace named Workspace2, and an Azure Data Lake Storage Gen2 container named Container1.

Workspace1 contains an Apache Spark job named Job1 that writes data to Container1. Workspace1 sends diagnostics to Workspace2.

From Synapse Studio, you submit Job1.

What should you use to review the LogQuery output of the job?

  • A. the files in the result subfolder of Container1
  • B. the Spark monitoring URL returned after Job1 is submitted
  • C. a table in Workspace2
  • D. the Apache Spark applications option on the Monitor tab
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Suggested Answer: A 🗳️

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nadavw
1 month, 4 weeks ago
Selected Answer: C
Here's why: Azure Synapse Analytics integrates with Azure Monitor and Log Analytics. Diagnostics from Synapse workspaces, including Spark job logs, are sent to the configured Log Analytics workspace (Workspace2 in this case). Within Log Analytics, the data is stored in tables that can be queried using KQL. You can write KQL queries to retrieve the LogQuery output of Job1. (Gemini)
upvoted 3 times
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EnigmaOracle
2 months, 3 weeks ago
Selected Answer: D
Within Synapse Studio Monitoring, you can check the Spark Application logs under Monitor → Apache Spark applications. Defintely not A: This would contain output data, not log queries or diagnostic logs. Not B: There is returned URL that provides live monitoring but is not the best choice for reviewing past logs after execution. Not C: While Log Analytics in Workspace2 stores logs, there is no direct "table" for Spark logs without running KQL queries manually.
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